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Intraoperative Anatomical and Hemodynamic Analysis of Intracerebral Arteriovenous Malformations by Semi-quantitative Color-coded Indocyanine Green Videoangiography

OBJECTIVE AND BACKGROUND: To evaluate possible roles for indocyanine green (ICG)-based FLOW 800 software in surgical treatment of cerebral arteriovenous malformations (AVMs). METHODS: We perform ICG videoangiography several times for each step of AVM resection to elucidate feeders, drainers, and cer...

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Detalles Bibliográficos
Autores principales: Kato, Yoko, Yamada, Yasuhiro, Sadato, Akiyo, Nouri, Mohsen, Cherian, Iype, Tanaka, Teppei, Inamasu, Joji
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5652087/
https://www.ncbi.nlm.nih.gov/pubmed/29114275
http://dx.doi.org/10.4103/ajns.AJNS_62_14
Descripción
Sumario:OBJECTIVE AND BACKGROUND: To evaluate possible roles for indocyanine green (ICG)-based FLOW 800 software in surgical treatment of cerebral arteriovenous malformations (AVMs). METHODS: We perform ICG videoangiography several times for each step of AVM resection to elucidate feeders, drainers, and cerebral perfusion. RESULTS: Since 2010, 22 AVM surgeries in our department have been conducted using FLOW 800 intraoperatively. We demonstrated ICG angiograms, color-coded images, and semi-quantitative curves for AVMs. By reviewing all these modalities, we would define vascular structure of the AVM, proceed with resection, and finally recheck for any remnant. CONCLUSIONS: ICG FLOW 800 software helps the surgeon to recognize feeding and draining vessels of an AVM intraoperatively. Further studies to evaluate semi-quantitative acquired data regarding blood flow and tissue perfusion are warranted.